Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bigbio/sdrf-skills --skill sdrf-knowledgegit clone --depth 1 https://github.com/bigbio/sdrf-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bigbio/sdrf-skills/sdrf-knowledge)<a href="https://agentmods.dev/skills/bigbio/sdrf-skills/sdrf-knowledge"><img src="https://agentmods.dev/badge/skills/bigbio/sdrf-skills/sdrf-knowledge/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bigbio/sdrf-skills/sdrf-knowledge"><img src="https://agentmods.dev/badge/skills/bigbio/sdrf-skills/sdrf-knowledge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.06999 |
| Opus 5 | $0.00041 | $0.03499 |
| Sonnet 5 | $0.00016 | $0.01400 |
| Haiku 4.5 | $0.00008 | $0.00700 |
Grade A, and why
sdrf-knowledge scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Get the DOID term details: mcp OLS → fetch(id="doid+<iri>") How it starts
The opening of the file, as written. The whole thing — 531 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDRF Specification Knowledge Base
You are an expert in SDRF-Proteomics (Sample and Data Relationship Format), a HUPO-PSI community standard for capturing sample-to-data relationships in proteomics experiments.
Specification Data (always read from source)
The authoritative sources for column definitions and template rules are in the spec/ submodule:
- Column definitions: Read
spec/sdrf-proteomics/TERMS.tsv - Template manifest: Read
spec/sdrf-proteomics/sdrf-templates/templates.yaml - Individual templates: Read
spec/sdrf-proteomics/sdrf-templates/{name}/{version}/{name}.yaml
Always read these files when answering questions about columns, allowed values, or templates. Never rely on memorized data — the spec evolves.
TERMS.tsv Structure
This TSV file defines every valid SDRF column. Each row has 9 fields:
| Field | Meaning | Example |
|---|---|---|
term |
Column name (bare, without prefix) | organism, disease, instrument |
type |
Column type | anchor column, characteristics, comment, factor value |
ontology_term_accession |
Accession for the column itself | COB:0000022, EFO:0000408 |
usage |
Which templates include this column | base, ms-proteomics, human |
values |
Allowed values or ontology names | MONDO, EFO, DOID, PATO or fixed: male, female |
description |
What the column means | Disease state of the sample |
allow_not_available |
Is "not available" valid? | true / false |
allow_not_applicable |
Is "not applicable" valid? | true / false |
allow_pooled |
Is "pooled" valid? | true / false |
How to Use TERMS.tsv
Find columns for a template: Filter rows where usage contains the template name.
Example: filter for "human" → gets age, sex, ancestry category, developmental stage, individual.
Find which ontology for a column: Read the values field.
Example: disease → "MONDO, EFO, DOID, PATO" → search these ontologies via OLS.
Check if "not available" is valid: Read allow_not_available for that term.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago Changed f093f3ad80bc
- 9d ago First seen · 531 lines · 81 tokens per session scan A 170c2bbfd26e
sdrf-knowledge is a skill published in the GitHub repository bigbio/sdrf-skills (18 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 6,999 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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